qrnn: Quantile Regression Neural Network
Fit quantile regression neural network models with optional left censoring, partial monotonicity constraints, generalized additive model constraints, and the ability to fit multiple non-crossing quantile functions following Cannon (2011) <doi:10.1016/j.cageo.2010.07.005> and Cannon (2018) <doi:10.1007/s00477-018-1573-6>.
| Version: | 2.1.1 |
| Published: | 2024-02-29 |
| DOI: | 10.32614/CRAN.package.qrnn |
| Author: | Alex J. Cannon 
[aut, cre] |
| Maintainer: | Alex J. Cannon <alex.cannon at ec.gc.ca> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| Citation: | qrnn citation info |
| Materials: | README |
| CRAN checks: | qrnn results |
Documentation:
| Reference manual: | qrnn.pdf |
Downloads:
| Package source: | qrnn_2.1.1.tar.gz |
| Windows binaries: | r-devel: qrnn_2.1.1.zip, r-release: qrnn_2.1.1.zip, r-oldrel: qrnn_2.1.1.zip |
| macOS binaries: | r-release (arm64): qrnn_2.1.1.tgz, r-oldrel (arm64): qrnn_2.1.1.tgz, r-release (x86_64): qrnn_2.1.1.tgz, r-oldrel (x86_64): qrnn_2.1.1.tgz |
| Old sources: | qrnn archive |
Reverse dependencies:
| Reverse imports: | fairadapt, geomod |
| Reverse suggests: | fscaret |
Linking:
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